{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T12:04:31Z","timestamp":1768824271043,"version":"3.49.0"},"reference-count":77,"publisher":"World Scientific Pub Co Pte Ltd","issue":"03","funder":[{"name":"Ayuda","award":["PID2022-137243OB-I00"],"award-info":[{"award-number":["PID2022-137243OB-I00"]}]},{"name":"financiada por","award":["MCIN\/AEI\/10.13039\/501100011033"],"award-info":[{"award-number":["MCIN\/AEI\/10.13039\/501100011033"]}]},{"DOI":"10.13039\/501100004837","name":"Ministerio de Ciencia e Innovacion","doi-asserted-by":"crossref","award":["MCIN\/AEI\/10.13039\/501100011033"],"award-info":[{"award-number":["MCIN\/AEI\/10.13039\/501100011033"]}],"id":[{"id":"10.13039\/501100004837","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100004837","name":"Ministerio de Ciencia e Innovacion","doi-asserted-by":"crossref","award":["PID2019-106811GB-C32"],"award-info":[{"award-number":["PID2019-106811GB-C32"]}],"id":[{"id":"10.13039\/501100004837","id-type":"DOI","asserted-by":"crossref"}]},{"name":"National Science Foundation","award":["2218748"],"award-info":[{"award-number":["2218748"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Advs. Complex Syst."],"published-print":{"date-parts":[[2024,5]]},"abstract":"<jats:p> Novel digital data sources and tools like machine learning (ML) and artificial intelligence (AI) have the potential to revolutionize data about development and can contribute to monitoring and mitigating humanitarian problems. The potential of applying novel technologies to solving some of humanity\u2019s most pressing issues has garnered interest outside the traditional disciplines studying and working on international development. Today, scientific communities in fields like Computational Social Science, Network Science, Complex Systems, Human Computer Interaction, Machine Learning, and the broader AI field are increasingly starting to pay attention to these pressing issues. However, are sophisticated data driven tools ready to be used for solving real-world problems with imperfect data and of staggering complexity? We outline the current state-of-the-art and identify barriers, which need to be surmounted in order for data-driven technologies to become useful in humanitarian and development contexts. We argue that, without organized and purposeful efforts, these new technologies risk at best falling short of promised goals, at worst they can increase inequality, amplify discrimination, and infringe upon human rights. <\/jats:p>","DOI":"10.1142\/s0219525924400022","type":"journal-article","created":{"date-parts":[[2024,3,22]],"date-time":"2024-03-22T08:51:14Z","timestamp":1711097474000},"source":"Crossref","is-referenced-by-count":1,"title":["THE OPPORTUNITIES, LIMITATIONS, AND CHALLENGES IN USING MACHINE LEARNING TECHNOLOGIES FOR HUMANITARIAN WORK AND DEVELOPMENT"],"prefix":"10.1142","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4490-3757","authenticated-orcid":false,"given":"VEDRAN","family":"SEKARA","sequence":"first","affiliation":[{"name":"IT University of Copenhagen, Copenhagen, Denmark"},{"name":"UNICEF, New York, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5382-8950","authenticated-orcid":false,"given":"M\u00c1RTON","family":"KARSAI","sequence":"additional","affiliation":[{"name":"Central European University, Vienna, Austria"},{"name":"National Laboratory of Health Security, HUN-REN R\u00e9nyi Institute of Mathematics, Budapest, Hungary"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2894-1024","authenticated-orcid":false,"given":"ESTEBAN","family":"MORO","sequence":"additional","affiliation":[{"name":"Network Science Institute, Northeastern University, Boston, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3867-4292","authenticated-orcid":false,"given":"DOHYUNG","family":"KIM","sequence":"additional","affiliation":[{"name":"UNICEF, New York, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2679-1421","authenticated-orcid":false,"given":"ENRIQUE","family":"DELAMONICA","sequence":"additional","affiliation":[{"name":"UNICEF, New York, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3681-7982","authenticated-orcid":false,"given":"MANUEL","family":"CEBRIAN","sequence":"additional","affiliation":[{"name":"Department of Statistics, Universidad Carlos III de Madrid, Madrid, Spain"},{"name":"Center for Automation and Robotics, Spanish National Research Council, Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8694-2001","authenticated-orcid":false,"given":"MIGUEL","family":"LUENGO-OROZ","sequence":"additional","affiliation":[{"name":"United Nations Global Pulse, New York, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0864-5594","authenticated-orcid":false,"given":"REBECA MORENO","family":"JIM\u00c9NEZ","sequence":"additional","affiliation":[{"name":"UNHCR, Geneva, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4252-4975","authenticated-orcid":false,"given":"MANUEL","family":"GARCIA-HERRANZ","sequence":"additional","affiliation":[{"name":"UNICEF, New York, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2024,5,3]]},"reference":[{"key":"S0219525924400022BIB003","doi-asserted-by":"publisher","DOI":"10.1145\/3442188.3445897"},{"key":"S0219525924400022BIB004","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2018.00171"},{"key":"S0219525924400022BIB005","doi-asserted-by":"publisher","DOI":"10.2196\/10179"},{"key":"S0219525924400022BIB006","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-47880-7_25"},{"key":"S0219525924400022BIB007","doi-asserted-by":"publisher","DOI":"10.1038\/d41586-018-02386-3"},{"key":"S0219525924400022BIB008","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2026160118"},{"key":"S0219525924400022BIB009","doi-asserted-by":"publisher","DOI":"10.5194\/isprs-archives-XLII-1-W2-1-2019"},{"key":"S0219525924400022BIB010","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-022-00855-y"},{"key":"S0219525924400022BIB011","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2014.03.009"},{"key":"S0219525924400022BIB012","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00041"},{"key":"S0219525924400022BIB014","doi-asserted-by":"publisher","DOI":"10.2966\/scrip.170220.389"},{"key":"S0219525924400022BIB015","doi-asserted-by":"publisher","DOI":"10.1126\/science.aac4420"},{"key":"S0219525924400022BIB017","first-page":"1","volume":"8","author":"Blumenstock J. 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